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, electronics, biostatistics, mathematics, physics, biomedical engineering, or related fields). At the date of application, the candidate must be enrolled in a doctoral (PhD) study programme. Basic programming
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; • mathematical modelling, development of FEM models (preferably using Ansys), and simulations, particularly in the areas of electromagnetics, power losses, etc.; evaluation, verification, and optimization
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. Knowledge of renewable energy systems (hydropower, wind, solar) and their grid integration. Experience in mathematical modeling, optimization algorithms, and data-driven methods. Possess a strong academic
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methodologies for assessing Local Energy Communities. Contribute to the integration of market and economic considerations into mathematical optimization models. Analyze electricity market structures, pricing
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Requirements a) Strong skills in the areas of mathematical statistics, optimization, online learning, optimal control, and stochastic processes. b) Relevant experience in online learning theory, demonstrated by
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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capable of automatically selecting the simulation strategy best suited to a given prediction objective, while optimizing the trade-off between accuracy and computational cost. The work will build on multi
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SD-26109- POSTDOCTORAL RESEARCHER IN AI-BASED ENERGY MANAGEMENT OF RESILIENT MICROGRIDS WITH SECO...
grid disturbances, outages and high uncertainty. Optimizing battery system operation, including state-of-charge management, reliability, lifetime-aware operation and backup power availability. Building
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Mission: Develop a monitoring and control system for an ammonia dehydrogenation plant. Functions to be developed: Perform plant modeling. Design an optimal control system. Design estimation algorithms
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colleague? Apply now! Education Ph.D. in Computer Science, Data Science, Mechanical Engineering, Systems Engineering, Applied Mathematics, or a closely related discipline with a definitive focus on data